# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import configparser
import ast


def load_net_cfg_from_file(cfgfile):
    def load_from_options(section, cfg):
        options = dict()
        xdict = dict(cfg.items(section))
        for key, value in xdict.items():
            try:
                value = ast.literal_eval(value)
            except:
                value = value
            options[key] = value
        return options

    cfg = configparser.ConfigParser()
    cfg.read(cfgfile)

    sections = cfg.sections()
    options = dict()
    for _section in sections:
        options[_section] = load_from_options(_section, cfg)

    return options
